Are collections sets?

Wickett, Karen M.; Renear, Allen H.; Furner, Jonathan

doi:10.1002/meet.2011.14504801145

Cited by 10 publications

(11 citation statements)

References 31 publications

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“…One potential alternative to the straw man definition provided earlier is that series are a kind of aggregation, like a collection (CIDOC 2011). Unlike a collection though, where membership in the collection object is itself the primary feature of the collection (Wickett et al, 2011), it is the sequential relationships that obtain among the aggregation's members rather than the members themselves that are the primary feature of the aggregation.…”

Section: Discussionmentioning

confidence: 99%

What is a Series, Really? .

Jett¹,

Humpal²,

Charles³

et al. 2017

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He employs formal methods to examine issues in the conceptual foundations of information access, organization, and retrieval, especially with regards to web and data semantics, knowledge representation, ontology development, and the creation of conceptual and data models. He is currently working on his dissertation proposal which examines how aggregates are described in library-centric conceptual models and vocabularies. Nathan Humpal has been a Catalog and Metadata Librarian at the University of Wisconsin-Milwaukee (UWM) since 2013, and was previously employed as a Metadata Librarian at the University of Alabama. He earned his Master of Library and Information Science from UWM in 2009. He has helped promote and operate the Digital Humanities Lab at UWM, including organizing Serious Play, a lecture series dedicated to the academic study of games. Valentine Charles works as a Data Research and Development coordinator at Europeana Foundation. She consults the Europeana Network on data practices and standards and communicates Europeana's R&D activities to the broader cultural heritage sector. She also coordinates the further development and adoption of the Europeana Data Model (EDM). Valentine has chaired and co-chaired various working groups in the EuropeanaTech community such as the Task Force on Recommendations for the Representation of Hierarchical Objects in Europeana. More recently, she became the Co-Chair of the Dublin Core Metadata Initiative (DCMI) Technical Board and Community Specification Committee.

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Section: Discussionmentioning

confidence: 99%

What is a Series, Really? .

Jett¹,

Humpal²,

Charles³

et al. 2017

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“…This study uses the terms "item" and "component" loosely, not only to indicate a collection's main conceptual units of gathering (such as books or artifacts), but also other parts of collections that substantially contribute to a collection's intended contribution to the scholarly and cultural records. The analysis focuses on discrete logical pieces that may be understood to have some kind of mereological, membership, or isGatheredInto relationship to the collection as a whole [31], and which contribute to its scholarly purpose according to the collection's self-described objectives.…”

Section: Qualitative Content Analysismentioning

confidence: 99%

Modeling Digital Humanities Collections as Research Objects

Fenlon

2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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Advancing digital libraries to increase the sustainability and usefulness of digital scholarship depends on identifying and developing data models capable of representing increasingly complex scholarly products. This paper considers the potential for an emergent model of scientific communication, the research objects data model, to accommodate the complexities of digital humanities collections. Digital humanities collections aggregate and enrich diverse sources of evidence and context, serving simultaneously as "publications" and dynamic, interactive platforms for research. The research objects model is an alternative to traditional formats of publication, facilitating aggregation and description of all of the inputs and outputs of a research process, ranging from datasets to papers to executable code. This model increasingly underpins research infrastructures in some scientific domains, yet its efficacy for representing humanities scholarship, and for undergirding humanities cyberinfrastructure, remains largely untested. This study offers a qualitative content analysis of digital humanities collections relying on a content/context analytical framework for characterizing collection components and their interrelationships. This study then maps those components and relationships into a research objects model to identify the model's strengths and limitations for representing diverse digital humanities scholarship. CCS CONCEPTS • Information systems → Data structures.

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“…1 Previous work describing the kinds of relationships that obtain between collections and the things gathered into them relied on the binary predicate isGatheredInto(x,y) as the key property that supplies a collection's identity conditions [14,15]. It is described at length in Wickett et al [16] While there are many relevant themes that interweave throughout the various accounts, two particular themes emerge from among them [3,8,10,11,12].…”

Section: Formal Definitions For Collectionsmentioning

confidence: 99%

The HathiTrust Research Center Workset Ontology: A Descriptive Framework for Non-Consumptive Research Collections

Jett

Cole

Maden

et al. 2016

Journal of Open Humanities Data

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The HathiTrust Digital Library (HTDL) is a digital library containing about 14 million volumes which comprise billions of pages of content. The HathiTrust Research Center (HTRC) is a collaborative research initiative jointly led by Indiana University and the University of Illinois at Urbana-Champaign. This paper describes the development of a collections data model by the Workset Creation for Scholarly Analysis project, a HTRC research initiative funded by the Andrew W. Mellon Foundation. The resulting HTRC Workset data model is designed to aid humanities scholars by helping them to describe selected portions of the HTDL corpus that serve as the objects of their research. The resulting worksets are persistent, citable, and can be assessed by other scholars for reuse in additional research processes.

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Are collections sets?

Cited by 10 publications

References 31 publications

What is a Series, Really? .

What is a Series, Really? .

Modeling Digital Humanities Collections as Research Objects

The HathiTrust Research Center Workset Ontology: A Descriptive Framework for Non-Consumptive Research Collections

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